Neural network Perceptron algorithm Sklearn

Question

I want to optimize the weights by different algorithms like adam; stochastic gradient descent etc and try different activation function using a perceptron of sklearn as below:

I did not found in sklearn how to do that any suggestion ???

Perceptron(alpha=0.0001, class_weight=None, eta0=1.0, fit_intercept=True,
      max_iter=10, n_iter=None, n_jobs=1, penalty=None, random_state=42,
      shuffle=True, tol=None, verbose=0, warm_start=False)

Answer 1

Perceptron() is equivalent to SGDClassifier(loss=”perceptron”, eta0=1, learning_rate=”constant”, penalty=None) so is using SGD by design.

What you're looking for is I think sklearn.neural_network.MLPClassifier